from pyaudiowpatch import PyAudio, paWASAPI from faster_whisper.utils import download_model import logging logger = logging.getLogger('faster_whisper') logger.setLevel(logging.CRITICAL) def getInputDevices(): devices = {} with PyAudio() as p: for host_index in range(0, p.get_host_api_count()): host = p.get_host_api_info_by_index(host_index) for device_index in range(0, p.get_host_api_info_by_index(host_index)['deviceCount']): device = p.get_device_info_by_host_api_device_index(host_index, device_index) if device["maxInputChannels"] > 0 and device["isLoopbackDevice"] is False: if host["name"] in devices.keys(): devices[host["name"]].append(device) else: devices[host["name"]] = [device] if len(devices) == 0: devices = {"NoHost": [{"name": "NoDevice"}]} return devices def getDefaultInputDevice(): with PyAudio() as p: api_info = p.get_default_host_api_info() defaultInputDevice = api_info["defaultInputDevice"] for host_index in range(0, p.get_host_api_count()): host = p.get_host_api_info_by_index(host_index) for device_index in range(0, p. get_host_api_info_by_index(host_index)['deviceCount']): device = p.get_device_info_by_host_api_device_index(host_index, device_index) if device["index"] == defaultInputDevice: return {"host": host, "device": device} return {"host": {"name": "NoHost"}, "device": {"name": "NoDevice"}} def getDefaultOutputDevice(): with PyAudio() as p: wasapi_info = p.get_host_api_info_by_type(paWASAPI) defaultOutputDevice = wasapi_info["defaultOutputDevice"] for host_index in range(0, p.get_host_api_count()): for device_index in range(0, p. get_host_api_info_by_index(host_index)['deviceCount']): device = p.get_device_info_by_host_api_device_index(host_index, device_index) if device["index"] == defaultOutputDevice: default_speakers = device if not default_speakers["isLoopbackDevice"]: for loopback in p.get_loopback_device_info_generator(): if default_speakers["name"] in loopback["name"]: default_device = loopback return default_device return {"name":"NoDevice"} def downloadWhisperWeight(weight_type, path): result = False try: download_model( weight_type, cache_dir=path) result = True except Exception: pass return result def checkWhisperWeight(weight_type, path): result = False try: result = download_model( weight_type, local_files_only=True, cache_dir=path) result = True except Exception: pass return result if __name__ == "__main__": downloadWhisperWeight("base", "./weight/whisper/") from faster_whisper import WhisperModel whisper_model = WhisperModel("base", device="cpu", device_index=0, compute_type="int8", cpu_threads=4, num_workers=1, download_root="./weight/whisper/") print(checkWhisperWeight("base", "./weight/whisper/")) print(checkWhisperWeight("tiny", "./weight/whisper/"))